🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 119 (from laksa086)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa119.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, meta_canonical AS meta_canonical, ml_categories_json AS ml_categories_json, ml_types_json AS ml_types_json, ml_intent_types_json AS ml_intent_types_json, meta_language AS meta_language, attrs_author AS attrs_author, ifNull(toUnixTimestamp(attrs_publish_time), 0) AS attrs_publish_time, ifNull(toUnixTimestamp(attrs_original_publish_time), 0) AS attrs_original_publish_time, ifNull(attrs_is_republished, 0) AS attrs_is_republished, ifNull(attrs_nr_words, 0) AS attrs_nr_words, ifNull(attrs_boilerpipe_nr_words, 0) AS attrs_boilerpipe_nr_words, ifNull(body_ext_links_number, 0) AS body_ext_links_number, ifNull(body_int_links_number, 0) AS body_int_links_number, ifNull(meta_nofollow, 0) AS meta_nofollow, ifNull(meta_noarchive, 0) AS meta_noarchive, ifNull(props_was_rendered, 0) AS props_was_rendered, ifNull(src_redirect, \'\') AS src_redirect, ifNull(download_time_msec, 0) AS download_time_msec, ifNull(download_ttfb_msec, 0) AS download_ttfb_msec, ifNull(download_size, 0) AS download_size FROM crawler3.page_info_local FINAL PREWHERE int_partition_id = 9 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://spacy.io/usage\')), getAhrefsUnparsedNoserviceFromURL(\'https://spacy.io/usage\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/spacy.io\/usage","crawl_time":1779724522,"first_indexed_time":1510245061,"http_code":200,"src_unparsed":"io,spacy!\/usage s443","src_root_hash":"6839834103567801919","history_drop_reason":null,"meta_title":"Install spaCy · spaCy Usage Documentation","meta_descriptions":["spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more."],"meta_canonical":null,"ml_categories_json":"{\"\/Computers_and_Electronics\":967,\"\/Computers_and_Electronics\/Software\":550,\"\/Computers_and_Electronics\/Software\/Open_Source\":423,\"\/Internet_and_Telecom\":151,\"\/Internet_and_Telecom\/Web_Services\":141,\"\/Internet_and_Telecom\/Web_Services\/Web_Design_and_Development\":111}","ml_types_json":"{\"\/Document\":759,\"\/Document\/Manual\":754}","ml_intent_types_json":"{\"Informational\":687,\"Transactional\":313,\"Navigational\":135}","meta_language":"en","attrs_author":null,"attrs_publish_time":0,"attrs_original_publish_time":1510245061,"attrs_is_republished":0,"attrs_nr_words":"2823","attrs_boilerpipe_nr_words":"2303","body_ext_links_number":59,"body_int_links_number":30,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":678,"download_ttfb_msec":369,"download_size":18423}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 119 · Partition 9

laksa119

6839834103567801919

📄

INDEXABLE

✅

CRAWLED

8 days ago

🤖

ROBOTS ALLOWED

Page Info Filters

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	0.3 months ago
History drop	PASS	`isNull(history_drop_reason)`	No drop reason
Spam/ban	PASS	`fh_dont_index != 1 AND ml_spam_score = 0`	ml_spam_score=0
Canonical	PASS	`meta_canonical IS NULL OR = '' OR = src_unparsed`	Not set

Page Details

Property

Value

URL

https://spacy.io/usage

Last Crawled

2026-05-25 15:55:22 (8 days ago)

First Indexed

2017-11-09 16:31:01 (8 years ago)

HTTP Status Code

200

Content

Meta Title

Install spaCy · spaCy Usage Documentation

Meta Description

spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.

Meta Canonical

null

Boilerpipe Text

heavy column, fetched on demand

Markdown

heavy column, fetched on demand

Readable Markdown

heavy column, fetched on demand

ML Classification

ML Categories

/Computers_and_Electronics		96.7%
/Computers_and_Electronics/Software		55.0%
/Computers_and_Electronics/Software/Open_Source		42.3%
/Internet_and_Telecom		15.1%
/Internet_and_Telecom/Web_Services		14.1%
/Internet_and_Telecom/Web_Services/Web_Design_and_Development		11.1%

Raw JSON

{
    "/Computers_and_Electronics": 967,
    "/Computers_and_Electronics/Software": 550,
    "/Computers_and_Electronics/Software/Open_Source": 423,
    "/Internet_and_Telecom": 151,
    "/Internet_and_Telecom/Web_Services": 141,
    "/Internet_and_Telecom/Web_Services/Web_Design_and_Development": 111
}

ML Page Types

/Document		75.9%
/Document/Manual		75.4%

Raw JSON

{
    "/Document": 759,
    "/Document/Manual": 754
}

ML Intent Types

Informational		68.7%
Transactional		31.3%
Navigational		13.5%

Raw JSON

{
    "Informational": 687,
    "Transactional": 313,
    "Navigational": 135
}

Content Metadata

Language

Author

null

Publish Time

not set

Original Publish Time

2017-11-09 16:31:01 (8 years ago)

Republished

Word Count (Total)

2,823

Word Count (Content)

2,303

Links

External Links

Internal Links

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Redirect Target

null

Performance

Download Time (ms)

678

TTFB (ms)

369

Download Size (bytes)

18,423

Location

Host ID

119 (laksa119)

Partition ID

Root Hash

6839834103567801919

Unparsed URL

io,spacy!/usage s443